Integrating Real-Time and Batch Processing in a Polystore John Meehan, Stan Zdonik Shaobo Tian, Yulong Tian Brown University {john,sbz}@cs.brown.edu

Source URL: sstore.cs.brown.edu

Stephen Goetze Kirk Wolf Dovetailed Technologies, LLC z/OS Hybrid Batch Processing and Big Data Session zBA07

Source URL: dovetail.com

An Introduction To z/OS Hybrid Batch Processing Steve Goetze Kirk Wolf Copyright©2012 Dovetailed Technologies, LLC

Source URL: dovetail.com

z/OS Hybrid Batch Processing and Big Data Stephen Goetze Kirk Wolf Dovetailed Technologies, LLC Thursday, August 7, 2014: 1:30 PM-2:30 PM

Source URL: dovetail.com

z/OS Hybrid Batch Processing on the zEnterprise zES30 Steve Goetze Kirk Wolf

Source URL: dovetail.com

Sojourn Time Distributions in Modulated G-Queues with Batch Processing Peter G Harrison and Harf Zatschler Department of Computing, Imperial College London {pgh,hz3}@doc.ic.ac.uk Abstract Quantiles on response times, giv

Source URL: pubs.doc.ic.ac.uk

PRACTICAL EXPERIENCE IN INTEGRATING CONVENTIONAL PHOTOGRAMMETRIC COMPILATION AND DIGITAL MAPPING TECHNIQUES John K. Powell Glenn L. Osick

Source URL: mapcontext.com

• Geographic information systems
• Cartography
• Stereophotogrammetry
• Stereoplotter
• Geography
• Photogrammetry
• Digitizing
• Batch processing
• Topographic map
• Computer
• Software
• DAT/EM Systems International

Kafka, Samza and the Unix Philosophy of Distributed Data Martin Kleppmann Jay Kreps University of Cambridge

Source URL: martin.kleppmann.com

• Computing
• Software
• Java platform
• Free software
• Parallel computing
• Distributed computing architecture
• Apache Software Foundation
• Apache Kafka
• Apache Samza
• Batch processing
• Stream processing
• MapReduce

Batch-Incremental vs. Instance-Incremental Learning in Dynamic and Evolving Data Jesse Read1 , Albert Bifet2 , Bernhard Pfahringer2 , Geoff Holmes2 1 Department of Signal Theory and Communications

Source URL: users.ics.aalto.fi

• Statistics
• Machine learning
• Learning
• Artificial intelligence
• Statistical classification
• Data mining
• Concept drift
• Massive Online Analysis
• K-nearest neighbors algorithm
• Support vector machine
• Stochastic gradient descent
• Batch processing

Apache Flink™: Stream and Batch Processing in a Single Engine Paris Carbone† Asterios Katsifodimos* † KTH & SICS Sweden

Source URL: www.user.tu-berlin.de

• Computing
• Java platform
• Apache Software Foundation
• Parallel computing
• Distributed computing architecture
• Hadoop
• Apache Flink
• Apache Beam
• Apache Spark
• Storm
• Stream processing
• Stream